Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, KY

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, KY
Series ID MHICILBKY21091A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:54 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 25114
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30326
1994-01-01 .
1995-01-01 32599
1996-01-01 .
1997-01-01 35560
1998-01-01 37887
1999-01-01 36004
2000-01-01 37053
2001-01-01 36737
2002-01-01 37490
2003-01-01 38986
2004-01-01 40361
2005-01-01 39165
2006-01-01 40687
2007-01-01 42814
2008-01-01 42306
2009-01-01 44679
2010-01-01 42304
2011-01-01 48027
2012-01-01 45793
2013-01-01 45903
2014-01-01 45283
2015-01-01 47564
2016-01-01 51588
2017-01-01 45757
2018-01-01 51081
2019-01-01 54305
2020-01-01 48132
2021-01-01 53577
2022-01-01 58629

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